How to install R packages that are not available in "R-essentials"?

Question

I use an out-of-the-box Anaconda installation to work with Python. Now I have read that it is possible to also "include" the R world within this installation and to use the IR kernel within the Jupyter/Ipython notebook. I found the command to install a number of famous R packages: conda install -c r r-essentials My beginner's question: How do I install R packages that are not included in the R-essential package? For example R packages that are available on CRAN. "pip" works only for PyPI Python packages, doesn't it? JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

Answer 1

Now I have found the documentation: This is the documentation that explains how to generate R packages that are only available in the CRAN repository: https://www.continuum.io/content/conda-data-science Go to the section "Building a conda R package". (Hint: As long as the R package is available under anaconda.org use this resource. See here: https://www.continuum.io/blog/developer/jupyter-and-conda-r) alistaire's answer is another possibility to add R packages: If you install packages from inside of R via the regular install.packages (from CRAN mirrors), or devtools::install_github (from GitHub), they work fine. @alistaire How to do this: Open your (independent) R installation, then run the following command: install.packages("png", "/home/user/anaconda3/lib/R/library") to add new package to the correct R library used by Jupyter, otherwise the package will be installed in /home/user/R/i686-pc-linux-gnu-library/3.2/png/libs mentioned in .libPaths() .